132 citations · 446 across the 14 of their papers we have counts for
14 papers
Generative AI Availability, Grades, and Student Satisfaction at a Large University
James M. Zumel Dumlao, Meng Wang, Zhonghan Xie +5
The availability of generative AI (GenAI) has raised concerns that college students substitute GenAI for cognitive effort, earning high grades without learning. If this "GenAI subs…
The Costs of Early-career Disciplinary Pivots: Evidence from Ph.D. Admissions
Sidney Xiang, Nicholas David, Dallas Card +3
Scientific innovation often comes from researchers who pivot across disciplines. However, prior work found that established researchers face productivity penalties when pivoting. H…
The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research
Hong Chen, Misha Teplitskiy, David Jurgens
Academic citations are widely used for evaluating research and tracing knowledge flows. Such uses typically rely on raw citation counts and neglect variability in citation types. I…
Where there's a will there's a way: ChatGPT is used more for science in countries where it is prohibited
Honglin Bao, Mengyi Sun, Misha Teplitskiy
Regulating AI is a key societal challenge, but which regulation methods are effective is unclear. This study measures the effectiveness of restricting AI services geographically, f…
Do "bad" citations have "good" effects?
Honglin Bao, Misha Teplitskiy
The scientific community discourages authors of research papers from citing papers that did not influence them. Such "rhetorical" citations are assumed to degrade the literature an…
Intentional and serendipitous diffusion of ideas: Evidence from academic conferences
Misha Teplitskiy, Soya Park, Neil Thompson +1
This paper investigates the effects of seeing ideas presented in-person when they are easily accessible online. Presentations may increase the diffusion of ideas intentionally (whe…
The Gender Gap in Scholarly Self-Promotion on Social Media
Hao Peng, Misha Teplitskiy, Daniel M. Romero +1
Self-promotion in science is ubiquitous but may not be exercised equally by men and women. Research on self-promotion in other domains suggests that, due to bias in self-assessment…
Being Together in Place as a Catalyst for Scientific Advance
Eamon Duede, Misha Teplitskiy, Karim Lakhani +1
The COVID-19 pandemic necessitated social distancing at every level of society, including universities and research institutes, raising essential questions concerning the continuin…
Does double-blind peer-review reduce bias? Evidence from a top computer science conference
Mengyi Sun, Jainabou Barry Danfa, Misha Teplitskiy
Peer review is widely regarded as essential for advancing scientific research. However, reviewers may be biased by authors' prestige or other characteristics. Double-blind peer rev…
Author Mentions in Science News Reveal Widespread Disparities Across Name-inferred Ethnicities
Hao Peng, Misha Teplitskiy, David Jurgens
Media outlets play a key role in spreading scientific knowledge to the general public and raising the profile of researchers among their peers. Yet, how journalists choose to prese…
Status drives how we cite: Evidence from thousands of authors
Misha Teplitskiy, Eamon Duede, Michael Menietti +1
Researchers cite works for a variety of reasons, including some having nothing to do with acknowledging influence. The distribution of different citation types in the literature, a…
The Social Structure of Consensus in Scientific Review
Misha Teplitskiy, Daniel Acuna, Aida Elamrani-Raoult +2
Personal connections between creators and evaluators of scientific works are ubiquitous, and the possibility of bias ever-present. Although connections have been shown to bias pros…
The Wisdom of Polarized Crowds
Feng Shi, Misha Teplitskiy, Eamon Duede +1
As political polarization in the United States continues to rise, the question of whether polarized individuals can fruitfully cooperate becomes pressing. Although diversity of ind…
Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science
Misha Teplitskiy, Grace Lu, Eamon Duede
With the rise of Wikipedia as a first-stop source for scientific knowledge, it is important to compare its representation of that knowledge to that of the academic literature. Here…